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The work denotes the number of operations performed by a given kernel or application. [1] This metric may refer to any type of operation, from number of array points updated, to number of integer operations, to number of floating point operations (FLOPs), [2] and the choice of one or another is driven by convenience.
The gap between processor speed and main memory speed has grown exponentially. Until 2001–05, CPU speed, as measured by clock frequency, grew annually by 55%, whereas memory speed only grew by 7%. [1] This problem is known as the memory wall. The motivation for a cache and its hierarchy is to bridge this speed gap and overcome the memory wall.
The Memory performance object consists of counters that describe the behavior of physical and virtual memory on the computer. Physical memory is the amount of random access memory on the computer. Virtual memory consists of the space in physical memory and on disk. Many of the memory counters monitor paging, which is the movement of pages of ...
There are many ways in which the resources used by an algorithm can be measured: the two most common measures are speed and memory usage; other measures could include transmission speed, temporary disk usage, long-term disk usage, power consumption, total cost of ownership, response time to external stimuli, etc. Many of these measures depend ...
In computing, computer performance is the amount of useful work accomplished by a computer system. Outside of specific contexts, computer performance is estimated in terms of accuracy, efficiency and speed of executing computer program instructions. When it comes to high computer performance, one or more of the following factors might be involved:
A zettascale computer system could generate more single floating point data in one second than was stored by any digital means on Earth in the first quarter of 2011. [ citation needed ] Beyond zettascale computing (>10 21 )
The disadvantage of this approach is that memory swap files are slower to read from than 'actual' memory, which can lead to performance drops. [2] Another disadvantage is that, when running out of real memory, the system is relying on the applications to not use the additional memory despite it being allocated to them.
Use of protected memory greatly enhances both the reliability and security of a computer system. Without protected memory, it is possible that a bug in one program will alter the memory used by another program. This will cause that other program to run off of corrupted memory with unpredictable results. If the operating system's memory is ...